Who is the Ditech Group in the international technological ecosystem?
The Ditech Group is a multinational company of Spanish origin specialized in software engineering and development of custom digital solutions. We currently operate in eight countries and have active projects in more than 21. Our goal is to transform complex business needs into robust, scalable and functional applications.
We have more than 300 highly qualified professionals and have developed more than 200 technological solutions in 15 countries. We do not see ourselves as a simple supplier, but as a strategic ally that contributes to improving the productivity and efficiency of our clients through technology.
In a sector as competitive as software development, what distinguishes Ditech from other companies?
Our differentiation does not lie in a single element, but in the combination of a solid methodology, a quality-oriented engineering culture and a real ability to adapt to each client’s business. While others focus on delivering code, we focus on delivering value. The DevOps culture we have built is a key pillar. It allows us to agilely coordinate the development and operations teams, generate frequent deliveries and ensure very short cycles. This not only accelerates time-to-market, but also reduces errors in production and makes it easier for the customer to continually validate the product.
Another fundamental factor is our flexibility. We adjust our processes and teams to the structure, sector and maturity of each client. We can work inhouse, nearshore or offshore, which gives us a very wide margin of adaptation. And finally, we maintain a firm commitment to quality and transparency. Our collaborative tools ensure that the client has real visibility of the project progress. This level of communication is key to building trust.
They allocate more than 25% of their income to R&D. How does this translate into concrete projects?
This investment materializes in three main lines. First of all, it allows us to apply advanced technological ecosystems in real projects. For example, we have developed merchandise management platforms using .NET Core, Python, React or Angular, always betting on modern and high-performance architectures. In Data Warehouse projects we have integrated Power BI with Azure SQL Server to improve data availability and performance. Secondly, R&D allows us to continually improve our methodology. Part of our DevOps culture—continuous integration, test automation, agile deployments—exists because of that investment. The customer receives more mature, more stable software delivered in shorter cycles.
And thirdly, we actively research artificial intelligence and emerging technologies. This allows us to develop proofs of concept that later become strategic projects, preparing our clients for the challenges of the future.
Ditech defends that its differentiation is not in the code, but in the delivery of value to the business and in its ability to address complex projects with a global vision.
What real benefits has the DevOps culture brought in speed, quality and error reduction?
The impact has been enormous. In speed, we have significantly reduced the time from writing code to being in production. CI/CD automates testing, builds and deployments, allowing us to deliver functionality in days or weeks. In quality, test automation in each cycle avoids regressions and drives uniform standards. Our PMO is responsible for validating and verifying each release, and peer reviews improve the robustness of the code.
In error reduction, DevOps allows us to detect them very early. By eliminating silos between development and operations and maintaining constant monitoring, we quickly correct issues and reduce risks for the end user.
What specific projects have you developed in generative artificial intelligence and what impact have you observed?
We understand generative AI as an engine that must be directly integrated with business systems. That’s why we work on solutions that automate complex processes, such as document interpretation or workflow management in logistics and finance. This reduces operating costs and frees up talent for strategic tasks. We also develop decision support systems that interpret data and generate recommendations. In inventories, for example, we use AI to predict demand and generate optimized purchase orders, which improves service levels and optimizes working capital.
And we apply AI to personalize the customer experience, from dynamic content to more precise virtual assistants. We have seen clear increases in retention and conversion.
The company assures that the deep integration of generative AI with corporate systems will be the trend that will most transform software development in the coming years.
In the modernization of the TISUR port in Peru, what were the biggest challenges and learnings?
The technical challenges were very significant. Integrating new systems with legacy platforms required designing a robust integration layer. Furthermore, as it is a 24/7 critical system, we had to guarantee zero interruptions, which is why we applied blue-green deployments and canary releases. We also work with microservices architectures and .NET Core to ensure scalability. As an added innovation, we incorporate AI-based video analytics to monitor vehicles through the existing circuit. In management, the challenges were user adoption and alignment with business objectives. We involved users from early stages and maintained constant communication with strategic managers.
The main learning is that the modernization of critical systems requires both technical precision and very careful change management.
How do you manage teams distributed between Latin America and Europe while maintaining closeness with clients?
We achieve this thanks to three pillars. First, a flexible model: we offer inhouse, nearshore or offshore teams according to the needs of the client and the project. Second, a very mature remote collaboration culture, supported by agile methodologies and tools that allow fluid communication and continuous visibility. And third, local presence. Being in eight countries gives us cultural, regulatory and market knowledge, allowing us to act as a close partner.
What technological trends will mark software development in the coming years?
I see four clear trends. AI-assisted development will multiply the productivity of teams. Platform engineering will be consolidated to reduce complexity in cloud-native environments. Sustainable software will be a priority, optimizing consumption and efficiency. And security built in by design—DevSecOps—will be the standard. We are preparing to lead this transition and accompany our clients on that path.
Grupoditech.es